The Dynamic Effects of Intermittent Fasting on the Microbiome-Gut-Brain Axis

The intricate interplay between the brain and the gut microbiota is a subject of growing interest, particularly in the context of interventions aimed at weight loss in obese individuals. Scientists have uncovered a crucial breakthrough: intermittent fasting, also referred to as intermittent energy/calorie restriction (IER), induces substantial changes in both the brain and the gut, offering promising possibilities for maintaining a healthy weight. This study delves into the dynamic effects of short-term intermittent fasting on successful weight loss, and we summarize the findings in the following article.

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Unraveling the Interconnected Puzzle of Weight Loss: The Dynamic Effects of Intermittent Fasting on the Microbiome-Gut-Brain Axis

 

Introduction

 

The intricate interplay between the brain and the gut microbiota is a subject of growing interest, particularly in the context of interventions aimed at weight loss in obese individuals. In the quest to combat the global obesity crisis, scientists have uncovered a crucial breakthrough: intermittent fasting, also referred to as intermittent energy/calorie restriction (IER), induces substantial changes in both the brain and the gut, offering promising possibilities for maintaining a healthy weight.

 

A recent study conducted by researchers in China explored the intricate relationship between intermittent energy restriction, brain activity, and gut microbiota in obese individuals, shedding light on the dynamic interplay within the Microbiota-Gut-Brain (MGB) axis. This study delves into the dynamic effects of short-term intermittent fasting on the MGB axis, shedding light on the intricate mechanisms involved in successful weight loss.

 

Intermittent Fasting Program and Weight Loss

 

The study involved 25 obese volunteers participating in a 62-day IER program, characterized by carefully controlled calorie intake and intermittent fasting. Remarkably, participants experienced an average weight loss of 7.6 kilograms (16.8 pounds), constituting 7.8 percent of their body weight. Beyond the visible outcomes, the study delved into the shifts observed in the brain’s activity and alterations in the gut microbiome.

 

Dynamic Changes in Brain Activity

 

Functional Magnetic Resonance Imaging (fMRI) scans were employed to capture the dynamic alterations in brain activity during the IER intervention. Significant reductions were noted in key brain regions associated with eating behavior, including the right inferior frontal orbital gyrus, anterior cingulate cortex, left dorsolateral prefrontal cortex, and right putamen. These regions, vital for regulating appetite and addiction, demonstrated consistent decreases in activity throughout the intervention.

 

Temporal Sequence of Brain Changes

 

The temporal sequence of brain activity changes during the IER intervention revealed distinct phases. In the early phase (midpoint of phase II), the left inferior frontal orbital gyrus, linked to the pleasure derived from food-related sensory cues, exhibited reduced activity, potentially promoting weight loss by curbing food intake. At the endpoint of phase II, a significant reduction in putamen activity, associated with learning and memory of food cues, contributed to weight loss. Towards the end of phase III, reductions in the activity of the dorsolateral prefrontal cortex (DLPFC) and anterior cingulate cortex (ACC) highlighted the importance of self-control mechanisms in weight maintenance.

 

Gut Microbiota Alterations

 

Concurrently, the study investigated the impact of IER on gut microbiota. Abundance and diversity changes were observed, with obesity-related probiotics (F. prausnitzii, P. distasonis, and B. uniformis) significantly increasing at the midpoint of phase II, while pathogenic E. coli decreased. This dynamic response of the gut microbiota to intermittent fasting suggests a favorable environment for weight loss.

 

Correlation Between Brain and Gut Microbiota

 

A compelling finding was the correlation between specific brain regions and differentially abundant gut bacteria across various timepoints of IER. Notably, the abundance of E. coli was negatively associated with the left orbital inferior frontal gyrus and the right putamen. This suggests a potential influence of gut microbiota on brain function, affecting appetite regulation.

 

Conclusion

 

This study provides a comprehensive understanding of the intricate dynamics within the Microbiota-Gut-Brain axis during short-term intermittent fasting for weight loss in obese individuals. The observed changes in brain activity and gut microbiota underscore the complexity of their interplay and offer valuable insights into potential strategies for effective weight management.

 

Further research is needed to unveil the precise mechanisms governing the communication between the gut microbiome and the brain in obese individuals, particularly during weight loss, paving the way for personalized interventions and healthier outcomes.

 

References

 

https://pubmed.ncbi.nlm.nih.gov/38173792/


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